\chapter{Qualitative results}
Qualitative results are hard to be measured by any metric. In the chapter that is describing the provided documents was discussed what a human from reading the documents would extract:

\begin{itemize}
	\item \textbf{Experience records} - Records of various experiences such as new technologies on a work place, experience with machine repairs, suggested improvements and many others. Extraction done by human will focus on who the experience recorded, about what the experience is recorded, affected things and what is the result of these records.
	\item \textbf{Expert's profiles} - Contains information about employees. Their education, experience, in which section they work and what their responsibilities.
	\item \textbf{Substitution program} - Reports transfer of experience between employees. Important is who transfers to whom the experience, what kind of experience it is, what is affected and what is the result.
	\item \textbf{Management documentation} - Contains documentation about various projects. What kind of project it is, who is responsible, details about the project, what it affects and what is the result.
\end{itemize}

From the extracted documents by the application. Only in a few examples, ~10\% of them, the requirements were partially fulfilled for triple extraction. From a closer investigation of the documents, it is cleared that the sentences are just not grammatically correct or too long and complex. The NLP parsed well some parts of the sentences, but to be able to compete with manual extraction, the NLP processing has to be 100\% precise. But what was promising, that even though the information was not presented in the triples, the terminologies contained the information in a most cases. By combining the terminology relevance with terminology search the application can still provide user more accurate and interesting search option compare with the full text one. The IE extraction is a part of this thesis. The application testing showed that when the information are extracted, the application can operate with them and return a relevant results.